We cloned hundreds of putative effector candidates of U. maydis to study them functionally. As effector candidates show beside the predicted signalpeptide very little bioinformatically predictable domains, we perform localization studies, interaction partner screens and functional screens. By overlaying results from different screens we try to form a working hypothesis for specific effector functions which are followed up in further detail. As heterologous expression systems for the screens we use mainly yeast, N. benthamiana and Arabidopsis thaliana.
This functional genomic approach has been developed by the Djamei laboratory as a highly sensitive method to detect insertion flanks of insertion cassettes in genomes. The method is not restricted to a specific organism and was used by the us identify in vivo novel virulence factors of U. maydis in negative selection screens of infected maize plants.
BluVision Micro- and Macro-phenomics Framework
The BluVision Micro- and Macro-phenomics Framework is built to collect and analyze image data primarily in the powdery mildew – cereals system but it can be adapted also to other plant-pathogen interactions as well as for quantification of non-pathogen related traits in micro- and macro-scale (cellular to organ levels). The framework combines state of the art hardware with a wide range of software approaches, including Artificial Intelligence-based applications, to create an efficient and versatile phenomics platform.